Video Pixel Networks

3 October 2016

Nal Kalchbrenner

Ivo Danihelka

Papers citing "Video Pixel Networks"

31 / 81 papers shown

Title
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 11 149 0 04 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 13 377 0 03 Dec 2018
Towards Accurate Generative Models of Video: A New Metric & Challenges Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly EGVM VGen 13 681 0 03 Dec 2018
Disentangling Propagation and Generation for Video Prediction Hang Gao Huazhe Xu Qi-Zhi Cai Ruth Wang F. I. F. Richard Yu Trevor Darrell 20 84 0 02 Dec 2018
Future Segmentation Using 3D Structure Suhani Vora R. Mahjourian S. Pirk A. Angelova 3DPC 19 8 0 28 Nov 2018
Recurrent Flow-Guided Semantic Forecasting Adam M. Terwilliger Garrick Brazil Xiaoming Liu 13 46 0 21 Sep 2018
Smoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang Shuiwang Ji 17 160 0 27 Aug 2018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics Xinchen Yan Akash Rastogi Ruben Villegas Kalyan Sunkavalli Eli Shechtman Sunil Hadap Ersin Yumer Honglak Lee 19 149 0 14 Aug 2018
Unsupervised Learning of Object Landmarks through Conditional Image Generation Tomas Jakab Ankush Gupta Hakan Bilen Andrea Vedaldi SSL 19 252 0 20 Jun 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 127 305 0 11 Jun 2018
Temporal Difference Variational Auto-Encoder Karol Gregor George Papamakarios F. Besse Lars Buesing Theophane Weber DRL 11 126 0 08 Jun 2018
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception William Lotter Gabriel Kreiman David D. Cox 19 31 0 28 May 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 20 450 0 04 Apr 2018
DIY Human Action Data Set Generation Mehran Khodabandeh Hamid Reza Vaezi Joze Ilya Zharkov V. Pradeep 19 11 0 29 Mar 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 17 77 0 21 Mar 2018
DYAN: A Dynamical Atoms-Based Network for Video Prediction Wenqian Liu Abhishek Sharma Octavia Camps M. Sznaier 9 36 0 20 Mar 2018
Efficient Neural Audio Synthesis Nal Kalchbrenner Erich Elsen Karen Simonyan Seb Noury Norman Casagrande Edward Lockhart Florian Stimberg Aaron van den Oord Sander Dieleman Koray Kavukcuoglu 19 863 0 23 Feb 2018
Stochastic Video Generation with a Learned Prior Emily L. Denton Rob Fergus VGen 34 525 0 21 Feb 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 22 855 0 28 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 18 4,800 0 02 Nov 2017
Visual Forecasting by Imitating Dynamics in Natural Sequences Kuo-Hao Zeng Bokui (William) Shen De-An Huang Min Sun Juan Carlos Niebles AI4TS 13 61 0 19 Aug 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yu Liu Xiaodong Yang Jan Kautz GAN 34 1,131 0 17 Jul 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 32 100 0 02 Jun 2017
The Pose Knows: Video Forecasting by Generating Pose Futures Jacob Walker Kenneth Marino Abhinav Gupta M. Hebert 22 348 0 28 Apr 2017
Predicting Deeper into the Future of Semantic Segmentation Pauline Luc Natalia Neverova Camille Couprie Jakob Verbeek Yann LeCun 21 241 0 22 Mar 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 13 383 0 27 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 13 930 0 19 Jan 2017
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 19 280 0 06 Nov 2016
Generating Videos with Scene Dynamics Carl Vondrick Hamed Pirsiavash Antonio Torralba GAN VGen 66 1,460 0 08 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 203 7,902 0 13 Jun 2015